Rfm-based Personalization

RFM-Based Personalization is a customer engagement strategy that uses an individual’s Recency, Frequency, and Monetary value scores to tailor marketing actions, distinguishing itself from other personalization approaches by its exclusive reliance on transactional behavioral metrics derived from the RFM framework.

8

Publications

349

Citations

21

Authors

10

Institutions

Publications per year

2017–2026

3

Authors

21

  1. ST
    Sang‐Bing Tsai

    University of Electronic Science and Technology of China, China

    1 publications · 32 citations

    1

    h-index

  2. YC
    Young-Sung Cho

    1 publications · 21 citations

    1

    h-index

  3. DH
    Diane Halstead

    University of Tennessee at Chattanooga, United States

    1 publications · 20 citations

    1

    h-index

  4. BJ
    Byeong-Woon Jin

    1 publications · 21 citations

    1

    h-index

  5. JM
    John Miglautsch

    Agricultural Marketing Service, United States

    1 publications · 41 citations

    1

    h-index

1–5 of 21

Venues

  1. 2

    h-index

  2. Computers in Human Behavior

    1 publications · 114 citations

    1

    h-index

  3. Wireless Communications and Mobile Computing

    WCMC · 1 publications · 32 citations

    1

    h-index

  4. 1

    h-index

  5. Academy of Marketing Studies journal

    1 publications · 20 citations

    1

    h-index

1–5